This is probably what you need. What scared me away is that it is a
query based system, there are
some potential drawbacks depending on the type of query, but you have
advantages too, such as extreme parallel
execution, so I suggest to take a look!

http://wiki.postgresql.org/wiki/Pgpool-II

mic

2010/11/12 ron_m <ron.mco...@gmail.com>:
> Thanks for the pointers from both of you, I appreciate that. It would
> be best to have multiple master but that will be very difficult.
> Bucardo has multiple master but only for 2 masters once you get into
> the docs for it. The MySQL scheme I mentioned used primary key
> skipping on autonumbers so if the pool of replicas could reach 10 the
> autonumber increment was set to 10 then each machine got an offset to
> start with. It looks like PostgreSQL can do this as well with the
> sequences but appears to be a DDL setting and not a DB server config
> setting. I am new to PostgreSQL so I may not have found that aspect
> yet. By being careful with the app design I think I can get it down to
> one master which is more manageable and avoid key conflicts.
>
> Ron
>
> On Nov 11, 1:00 pm, Michele Comitini <michele.comit...@gmail.com>
> wrote:
>> There are some good news for postgresql 9.0:
>>
>> http://www.postgresql.org/docs/9.0/interactive/warm-standby.html
>>
>> some of those features above are possible  on 8.4 with some difficult
>> configuration tricks, see wiki.postgresql.org.
>>
>> mic
>>
>> 2010/11/11 mdipierro <mdipie...@cs.depaul.edu>:
>>
>> > Hi Ron,
>> > I do not much about this topic. Will single master be enough?
>> > You may want to look into these tools as well.
>>
>> >http://www.slony.info/
>> >http://www.sistemasagiles.com.ar/trac/wiki/PyReplicaEn
>> >https://public.commandprompt.com/projects/replicator
>>
>> > On Nov 11, 1:51 pm, ron_m <ron.mco...@gmail.com> wrote:
>> >> Any of you have experience with Bucardo or pgpool-II as a replication
>> >> add-on?
>>
>> >> Some background:
>> >> I switched from MySQL to PostgreSQL very cleanly using web2py as the
>> >> vehicle. Sort description to document the process: Made a copy of the
>> >> app, removed the content of the databases directory, added the
>> >> prerequisite components (database and driver) to the system, created
>> >> an empty DB, changed the connection string in the model, started MySQL
>> >> verison of app in shell mode and ran all the data out to one CSV file
>> >> and finally started the PostgreSQL version up in shell mode and did an
>> >> import of the same CSV file followed by a db.commit(). After all that
>> >> the application worked except for one group by orderby query
>> >> PostgreSQL didn't like which was easy to fix and the change worked in
>> >> MySQL as well. This was a database with 28 tables linked with lots of
>> >> relations.
>>
>> >> My compliments to this great application server and infrastructure
>> >> surrounding it. Of the available migration tools I found out on the
>> >> net, most failed to work and would require extensive manual editing.
>>
>> >> The application will be installed in 10 locations scattered all over
>> >> Alaska. All the locations are connected by a WAN with IPSEC to form a
>> >> VPN so it looks like it is all in the same room except for network
>> >> performance.
>>
>> >> Each location must survive a network outage and continue to work, The
>> >> weather can be a problem up there.
>>
>> >> Any data tables that change rapidly are to remain local to each
>> >> location.
>>
>> >> About 2/3 of the database is configuration information which changes
>> >> very slowly. One table if this were running would have changed once in
>> >> 5 years. Some tables change more often as employees come and go or
>> >> equipment is added to a location. Config changes can be delayed by
>> >> downed connections so eventual consistency is okay.
>>
>> >> I need something automatic since the people using the system are not
>> >> technical and cannot be depended on to to a task.
>>
>> >> By restricting the application I could get the updates to one database
>> >> instance but then there is a time delay until the local copy is in
>> >> sync.
>>
>> >> I looked at MySQL Replication as described in the Linux Journal
>> >> article July 2010 where they do a ring which has each server to the
>> >> left in the ring is master to the slave to the right but I could see
>> >> with intermittent networks down due to bad weather this could be a
>> >> headache waiting to happen. Also the MySQL licensing has a degree of
>> >> uncertainty to it so I would rather stay away.
>>
>> >> I am aware of PostgreSQL-R which is in beta, The uuid and timestamps
>> >> available in web2py model help but then needs to be driven by cron in
>> >> a batch oriented update.
>>
>> >> Sometimes I look at the NoSQL databases like CouchDB or MongoDB but
>> >> then the foreign keys from the rapidly changing data is a problem. I
>> >> could bridge it using equipment hostname or something like that but
>> >> still I would rather stay inside one database.
>>
>> >> Hard problem to solve completely I think.
>>
>> >> Comments?
>>
>> >> Thanks
>>
>> >> Ron
>>
>>

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